Hierarchical Deep Reinforcement Learning and Model Predictive Control for Voltage-Aware Electric Vehicle Charging Coordination in Distribution Network

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Probabilistic end-to-end irradiance forecasting through pre-trained deep learning models using all-sky-images

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Node2Vec-DGI-EL: a hierarchical graph representation learning model for ingredient–disease association prediction

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Impact of LEARNS Model-Based Health Education on Swallowing Safety and Psychological Well-Being in Postoperative Esophageal Cancer Patients

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Establishment of Machine Learning Models for Estimating the Collagen Content of Uterine Leiomyomas and Prediction of the Effect of Gonadotropin‐Releasing Hormone Analog

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Experimental study and machine learning modeling of organic-nano-aged Saudi Arabian Basalt: An implication to gas geo-storage

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Coding 1‐Bit Programmable Metasurface Based on Bayesian Learning With a Hierarchical Truncated Gaussian Mixture Prior Model

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Never Train a Deep Learning Model on a Single Well? Revisiting Training Strategies for Groundwater Level Prediction

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Emotion recognition from Bangla dialect speech using privacy-aware deep learning models: a comparative analysis

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Development and External Validation of a Machine Learning Model for Automated Feedback Quality Assessment in Chinese Anesthesiology Residency Training

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Bridge Failure Risk Prediction Using Geospatial Data Processing via Multi-Head Attention Deep Learning Model

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An optimized hybrid deep learning model with SHapley Additive exPlanations for pulmonary fibrosis nodule segmentation and severity assessment

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Machine Learning Analysis of Vehicle Mass Influence on EV Energy Consumption Using Black Box Energy Consumption Model

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Interpretable ensemble machine learning framework for cardiovascular disease prediction using EMR data and large language models in Ethiopia

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Preoperative evaluation of C2 pedicle screw placement using a deep learning model: Development and validation study

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Sequential Optimal Design of Coaxial Magnetic Gears for EV Reducers Using Taguchi Method and Machine Learning Surrogate Model

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Lightweight multimodal large language model enabling efficient one shot industrial visual anomaly detection

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Measuring accuracy of AI generated definitions using cosine similarity index across select GPT models

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Design of an integrated federated large language models for semantic reasoning and self-organizing 6G networks

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Comparative evaluation of large language models in generating clinical insights for HIV associated oral Kaposi sarcoma

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